Static Parameter Detection and Identification of Power Grid Branch Based on PMU Measurement

被引：0

作者：

Cui Yunfeng ^{[1
]}

机构：

[1] North China Elect Power Univ, Beijing 102206, Peoples R China

来源：

PROCEEDINGS OF THE 2016 4TH INTERNATIONAL CONFERENCE ON MACHINERY, MATERIALS AND INFORMATION TECHNOLOGY APPLICATIONS | 2016年 / 71卷

关键词：

static parameter; detection and identification; partition; local identification; ERRORS;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

With the wide coverage of the WAMS in power system, it is possible to detect the static parameters of power grid branch with PMU measurement. The paper presents a method, that is, by the reformation of state space and linear static state estimation. To improve branch parameter computation redundancy, KCL equations are added to the measurement equation which is presented in parameter space. Through a combination of global detection and local identification, combined with much statistical analysis of measurement profiles, the adverse effects brought by the lack of precision of PMU measurement can be minimized. Finally, a New England 39 buses test system and a practical example are presented to verify the effectiveness of the proposed algorithm.

引用

页码：313 / 318

页数：6